"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""

from __future__ import annotations
from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL, UnrecognizedStr
from openrouter.utils import validate_open_enum
from pydantic import model_serializer
from pydantic.functional_validators import PlainValidator
from typing import Literal, Union
from typing_extensions import Annotated, TypedDict


UnifiedBenchmarksMetaSource = Union[
    Literal[
        "artificial-analysis",
        "design-arena",
    ],
    UnrecognizedStr,
]
r"""The source filter applied."""


UnifiedBenchmarksMetaVersion = Literal["v1",]
r"""Dataset version."""


class UnifiedBenchmarksMetaTypedDict(TypedDict):
    as_of: str
    r"""ISO-8601 timestamp of when this data was last updated."""
    citation: str
    r"""Required attribution when republishing this data."""
    model_count: int
    r"""Number of unique models in the response."""
    source: UnifiedBenchmarksMetaSource
    r"""The source filter applied."""
    source_url: str
    r"""URL of the upstream data source."""
    task_type: Nullable[str]
    r"""The task_type filter applied, or null if showing all."""
    version: UnifiedBenchmarksMetaVersion
    r"""Dataset version."""


class UnifiedBenchmarksMeta(BaseModel):
    as_of: str
    r"""ISO-8601 timestamp of when this data was last updated."""

    citation: str
    r"""Required attribution when republishing this data."""

    model_count: int
    r"""Number of unique models in the response."""

    source: Annotated[
        UnifiedBenchmarksMetaSource, PlainValidator(validate_open_enum(False))
    ]
    r"""The source filter applied."""

    source_url: str
    r"""URL of the upstream data source."""

    task_type: Nullable[str]
    r"""The task_type filter applied, or null if showing all."""

    version: UnifiedBenchmarksMetaVersion
    r"""Dataset version."""

    @model_serializer(mode="wrap")
    def serialize_model(self, handler):
        optional_fields = []
        nullable_fields = ["task_type"]
        null_default_fields = []

        serialized = handler(self)

        m = {}

        for n, f in type(self).model_fields.items():
            k = f.alias or n
            val = serialized.get(k)
            serialized.pop(k, None)

            optional_nullable = k in optional_fields and k in nullable_fields
            is_set = (
                self.__pydantic_fields_set__.intersection({n})
                or k in null_default_fields
            )  # pylint: disable=no-member

            if val is not None and val != UNSET_SENTINEL:
                m[k] = val
            elif val != UNSET_SENTINEL and (
                not k in optional_fields or (optional_nullable and is_set)
            ):
                m[k] = val

        return m